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  2. Image (mathematics) - Wikipedia

    en.wikipedia.org/wiki/Image_(mathematics)

    In mathematics, for a function :, the image of an input value is the single output value produced by when passed . The preimage of an output value y {\displaystyle y} is the set of input values that produce y {\displaystyle y} .

  3. Concept image and concept definition - Wikipedia

    en.wikipedia.org/wiki/Concept_image_and_concept...

    A concept definition is similar to the usual notion of a definition in mathematics, with the distinction that it is personal to an individual: "a personal concept definition can differ from a formal concept definition, the latter being a concept definition which is accepted by the mathematical community at large." [1]

  4. Image subtraction - Wikipedia

    en.wikipedia.org/wiki/Image_subtraction

    This is commonly used in fields such as time-domain astronomy (known primarily as difference imaging) to find objects that fluctuate in brightness or move. In automated searches for asteroids or Kuiper belt objects , the target moves and will be in one place in one image, and in another place in a reference image made an hour or day later.

  5. Difference of Gaussians - Wikipedia

    en.wikipedia.org/wiki/Difference_of_Gaussians

    When utilized for image enhancement, the difference of Gaussians algorithm is typically applied when the size ratio of kernel (2) to kernel (1) is 4:1 or 5:1. In the example images, the sizes of the Gaussian kernels employed to smooth the sample image were 10 pixels and 5 pixels.

  6. Range of a function - Wikipedia

    en.wikipedia.org/wiki/Range_of_a_function

    Sometimes "range" refers to the image and sometimes to the codomain. In mathematics, the range of a function may refer to either of two closely related concepts: the codomain of the function, or; the image of the function. In some cases the codomain and the image of a function are the same set; such a function is called surjective or onto.

  7. Visual comparison - Wikipedia

    en.wikipedia.org/wiki/Visual_comparison

    This technique is good for finding edits in graphical images, or for comparing an image with a compressed version to spot artefacts. [ 3 ] Visual comparison with a standard chart or reference is often used as a means of measuring complex phenomena such as the weather , sea states or the roughness of a river. [ 4 ]

  8. Ridge detection - Wikipedia

    en.wikipedia.org/wiki/Ridge_detection

    Ridges of this image, once projected to the original image, were to be analogous to a shape skeleton (e.g., the Blum medial axis) of the original image. What follows is a definition for the maximal scale ridge of a function of three variables, one of which is a "scale" parameter.

  9. Spot the difference - Wikipedia

    en.wikipedia.org/wiki/Spot_the_difference

    Solving "Spot the difference" by overlaying the left image (top left) with an inverse image (bottom left) of the right one (top right). Differences appear as non grey parts (bottom right) A way to solve a spot the difference puzzle digitally is to create a inverse version of one of the images to compare and to overlay it 50% on the other one.